Quick Turnaround with Administrative Health Data
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1 Quick Turnaround with Administrative Health Data Katherine Giuriceo, PhD Research and Rapid Cycle Evaluation Group Center for Medicare and Medicaid Innovation, CMS October 2,
2 Overview Center for Medicare and Medicaid Innovation (CMMI) Administrative Health Data at CMS Rapid Cycle Evaluation at CMMI Depicting results in new ways New methods 2
![The CMS Innovation Center The purpose of the [Center] is to test innovative payment and service delivery models to reduce program expenditures](/docs-images/29/13860743/images/3-0.png "while preserving or enhancing the quality of care furnished to individuals under such titles.")
3 The CMS Innovation Center The purpose of the [Center] is to test innovative payment and service delivery models to reduce program expenditures while preserving or enhancing the quality of care furnished to individuals under such titles. - The Affordable Care Act Identify Scale Test Evaluate 3
4 The Innovation Center portfolio aligns with delivery system reform focus areas Focus Areas CMS Innovation Center Portfolio* Test and expand alternative payment models Pay Providers Accountable Care Primary Care Transformation Episode based payments Initiatives Focused on the Medicaid Dual Eligible (Medicare-Medicaid Enrollees) Deliver Care Support providers and states to improve the delivery of care Learning and Diffusion Health Care Innovation Awards State Innovation Models Initiative Million Hearts Initiative Distribute Information Increase information available for effective informed decision-making by consumers and providers Information to providers in CMMI models * Many CMMI programs test innovations across multiple focus areas Shared decision-making required by many models 4
5 Claims Based Priority Measures Structure Process Outcome Care Cost and Experience Resource Use HIT Utilization Measures related to use of HIT Preventive Care Measures examining provision of preventive care Clinical Care Measures assessing adherence to processes of care Care Coordination Measures assessing relationship and communication between providers and patients, including plan of care development and follow-up; followup to tests, referrals, etc.; availability of patient information to necessary caregivers/patient/ family members; and care transition issues Mortality Mortality measures including diseasespecific or all-cause, reported for a specific time period Morbidity Intermediate outcome measures that describe level of health or disease Functional and Health Status Change Assessment tools that examine changes in patient outcomes related to functional and other health status changes Safety Outcomes Measures assessing outcomes of poor safety practices Patient, Care Giver Experience Measures or surveys that use feedback from patients and their families about their experience with care Cost of Care Measures and recommendations for calculating cost of care Readmissions Measures related to n- day readmissions Ambulatory Care Sensitive Condition (ACSC) Admissions Measures tied to hospitalizations for which quality outpatient care can potentially prevent, or for which early intervention can prevent complications or more severe disease ER/ED Visits: Measures tied to utilization of the ED/ER 5
6 Claims Based Priority Measures Structure Process Outcome Care Cost and Experience Resource Use HIT Utilization Measures related to use of HIT Preventive Care Measures examining provision of preventive care Clinical Care Measures assessing adherence to processes of care Care Coordination Measures assessing relationship and communication between providers and patients, including plan of care development and follow-up; followup to tests, referrals, etc.; availability of patient information to necessary caregivers/patient/ family members; and care transition issues Mortality Mortality measures including diseasespecific or all-cause, reported for a specific time period Morbidity Intermediate outcome measures that describe level of health or disease Functional and Health Status Change Assessment tools that examine changes in patient outcomes related to functional and other health status changes Safety Outcomes Measures assessing outcomes of poor safety practices Patient, Care Giver Experience Measures or surveys that use feedback from patients and their families about their experience with care Cost of Care Measures and recommendations for calculating cost of care Readmissions Measures related to n- day readmissions Ambulatory Care Sensitive Condition (ACSC) Admissions Measures tied to hospitalizations for which quality outpatient care can potentially prevent, or for which early intervention can prevent complications or more severe disease ER/ED Visits: Measures tied to utilization of the ED/ER 6
7 Priority Measures Example Hospital ED Visit Rate that did not Result in Hospital Admission, by Condition Numerator: All ED visits attributed to beneficiaries with a given condition. Sum the number of ED visits identified in the Outpatient SAF. Denominator: Count number of beneficiaries with a given condition. 7
8 Administrative Health Data Available for Research Beneficiary level Enrollment and Demographics Surveys Physician and Professional Services Facility Services Prescription Drugs Quality of Care Resident Assessments More information and categorization available through Research Data Assistance Center (ResDAC)
9 Rapid-Cycle Evaluation 1. Rigor 2. Speed 3. Support Improvement 9
10 Examples of Rapid-Cycle Reporting External Reporting To practices or States Providers Internal Reporting To program team To CMMI leadership 10
11 Depicting Evaluation Results: New Challenges Need to integrate the estimated effect sizes and precision estimates Display estimates to better convey the anticipated gains/losses of a particular model Explore ways to present data for different audiences 11
12 12
13 Quarterly Effects on Costs, Evaluation after 20 quarters: Simulated Year-quarter effect 95% confidence interval 90% confidence interval Distribution of Gains / Losses, Evaluation after 20 quarters: Simulated Year-quarter % chance of loss Saving>$50 Saving>$0 Loss True savings ramps up to $20 by 6th quarter Average standard error of coefficients is 20 13
14 New Methods CMMI seeks to update approaches to utilize best methods Health services research field is constantly evolving Example Bayesian Varies from frequentist approach in: Structure (confidence vs. probability) Display Assumptions 14
15 Summary Administrative data can be leveraged for evaluation and research Advantages include: Comprehensive resource Ability to identify policy relevant impacts Challenges include: obtaining timely and complete data presenting data for different audiences in a way that is clear and understandable 15
16 Thank You! Questions? Katherine Giuriceo 16
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